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Explore AI Learns to Fight with Euphoria Physics (deep reinforcement learning) with 136 views, 1 likes, and 0 comments. Experience the impact of this video content that has captured audience attention.

In this video, we watch an artificial intelligence (AI) struggle against the most complex laws of physics and its learning process. Trained from scratch in an Active Ragdoll Physics environment, our character develops its own strategies to defeat ultra-powerful NPCs! During the training process, I used Deep Reinforcement Learning algorithms and neural networks. Every failure of the AI ​​allows it to act more balanced and strategically in the next attempt. Don't miss this exciting combination of physics simulation and artificial intelligence evolution. 00:00 Beginning of the Experiment: AI Doesn't Know How to Walk Yet 00:45 First Encounter: NPC vs AI Chaos 01:20 Deep Learning Takes Over (Training Phase) 01:40 AI Develops Strategy: New Moves! 02:15 Final Battle: Intelligent AI vs Ultra NPC 02:40 Analysis and Future Experiments What do you think AI should learn next? A different game engine or more complex weapon mechanics? I'm waiting for your thoughts in the comments! Brilliant / AIWarehouse If you want to understand how AI learns to fight or how reinforcement learning works behind the scenes, Brilliant has amazing courses on neural networks and machine learning. I highly recommend “Introduction to Neural Networks” — it’s one of the best I’ve taken. Use my link for 20% off! Inspired by ⁨@aiwarehouse⁩ and ⁨@npcragdolls⁩ — advanced AI combat, deep RL training, and physics-based NPC behavior. 🔥 Don’t forget to LIKE, COMMENT, and SUBSCRIBE for more videos! #AI #RagdollPhysics #MachineLearning #DeepReinforcementLearning #Simulation #AILearns #NPCWars

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